Where We’ve Been What We’ve Accomplished Where We Need to Go Why We Need to Go There
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Transcript of Where We’ve Been What We’ve Accomplished Where We Need to Go Why We Need to Go There
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Objects in the Mirror are closer than they appearWhere We’ve Been Where We’ve Been
What We’ve AccomplishedWhat We’ve Accomplished
Where We Need to GoWhere We Need to Go
Why We Need to Go ThereWhy We Need to Go There
THE ENTERPRISETHE ENTERPRISE ARCHITECTUREARCHITECTURE JOURNEY TO AJOURNEY TO A WORLD CLASSWORLD CLASS ‘ ‘ONE’ NOAAONE’ NOAA
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WHY ARE WE TAKING THIS TRIP?
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Small-scale analysis and design is adequate for small-scale projects….
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But a full-scale architectural process is required to effectively address the challenges NOAA faces
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How many systems? Linked to Needs?
NOAA-wide observing requirements?
NOAA
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NOAA Corporate Observing and Data Management System Planning, Architecture, & Analysis prior to 2002 =
System costs,
impacts or
benefits?
Requirements satisfaction or
gaps?
CHAOS
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Corporate Actions Initiating Observing and Data Management Architecture
• NOAA Program Review Recommendation 32 (Aug 2002)– Centrally plan and integrate all observing systems– Develop NOAA-wide observing
system architecture• Baseline (Present)
• Target (10-20 years)
NOAA Strategic Plan (May 2003)“NOAA will develop an agency-wide Strategic Plan responding to user needs and its multiple user requirements that integrates atmospheric, oceanic, terrestrial, coastal and freshwater observations and data management to enhance all NOAA’s mission goals.”
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Corporate Actions Initiating Observing and Data Management Architecture
• Strategic Direction for NOAA’s Integrated Global Environmental Observation and Data Management System– Provided vision and roadmap
guiding last 3 years of effort– Continues to provide valid
course for achieving goal
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What are the Benefits of an Architecture?
• Facilitates alignment of technology to mission goals and programs
• Provides a corporate methodology to prioritize budget initiatives/alternatives
• Provides a corporate methodology to find cost reductions and/or to realign resources
Mission Technology
Architecture allows NOAA to evolve its Observation System.
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WHAT HAVE WE ACCOMPLISHED?
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NOAA Corporate Observing and Data Management System Planning, Architecture, & Analysis in 2006/2007 =
Contribute toIncreased Revised Set of Systems
Analysis Capabilities
Identification of Gaps and Overlaps
Existing Systems
Requirements
Goals & Sub-Goals
Societal Benefits
Drive
A Structured and Disciplined Process
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OBSERVING REQUIREMENTS
• Defined and prioritized• Accessible to all of NOAA – facilitates a
corporate view– Efficiently provides consistent responses to
multiple queries– Reduces number of calls/emails program managers
must respond to– Limits misinformation
Revised Set of Systems
Analysis Capabilities
Identification of Gaps and Overlaps
Existing Systems
Requirements
Goals & Sub-Goals
Process Improvement:
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Observing Systems
• Completely identified and cataloged• Accessible to all of NOAA – facilitates
a corporate view– Efficiently provides consistent responses to multiple queries– Reduces number of calls/emails program managers must
respond to– Limits misinformation
Revised Set of Systems
Analysis Capabilities
Identification of Gaps and Overlaps
Existing Systems
Requirements
Goals & Sub-Goals
Weather & Water Commerce & Transportation Climate
ASOS CCAP AL-Precipitation Profiling BOY HYDRO ARL- Atmos. Dispersion COOP NS&T MUSSEL ARL-GEWEXDART NWLON ARL-FRD - INEEL CAP Cooperative Agency PORTS ARL-ISISLTG SWIM ARL-SURFRADC-MAN NCOP ATDD-RAMAN networkMDCRS National Status and Trends FSL- GPS Water Vapor NERON Shoreline FSL-Citizen Weather NEXRAD CREIOS NESDIS-IonosondeNOHRSC CORS PMEL- Ocean Acoustic
NPN Ecosystems PMEL- FOCIRAWINSONDE Sociocultural Data IOOS- Tropical Moored VOS Commercial Fisheries- IOOS- Drifting BuoysAL-Wind Profiling Radars Economic Data IOOS- ArgoAL-Wind Profiling Radars Fish Surveys IOOS- Ships of OpportunityARL-Portable Air Surface Habitat Assessment IOOS- Arctic Observing ATDD-AIRMoN National Observer Program IOOS- Ocean Carbon ATDD-ETOS Protected Resources IOOS- Ocean Reference ETL-IN-SITU SENSORS Recreational Fisheries- IOOS- Tide GaugesETL-INTEGRATED Ecosystems Surveys CMDL-HATSETL-LIDARS SWMP CMDL-Observatories
ETL-RADARS Mission Support CMDL-STARETL-RADIOMETERS NESDIS-GOES I/M CMDL-Startospheric Water ETL-SODARS NESDIS-GOES NOP CMDL-Stratospheric
NESDIS-GOES R CMDL-Stratospheric OzoneNESDIS-POES CMDL-AERONESDIS-NPP CMDL-CCGGNESDIS-NPOESS CMDL-SFCOZNESDIS-DMSP USCRNNESDIS-MOBYNMAO-AIRCRAFTNMAO-SHIPS
NOAA Observing System Council
Process Improvement:
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Identification of Gaps and Overlaps
• Identified and cataloged• Accessible to all of NOAA – facilitates a corporate
view– Efficiently provides consistent responses to multiple
queries– Reduces number of calls/emails program managers must
respond to– Limits misinformation
• Used by Goals and Programs over last 3 years in PPBES process
Revised Set of Systems
Analysis Capabilities
Identification of Gaps and Overlaps
Existing Systems
Requirements
Goals & Sub-Goals
Process Improvement:
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ANALYSIS CAPABILITIES
• Portfolio
• Geo-spatial
• Cost-Benefit
Revised Set of Systems
Analysis Capabilities
Identification of Gaps and Overlaps
Existing Systems
Requirements
Goals & Sub-Goals
Process Improvement:
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Revised Set of Observing Systems
• Updated database reflecting change in integrated observation system architecture
• Systems completely identified and cataloged• Accessible to all of NOAA – facilitates a corporate
view• Updated two times. In third cycle. Continues to
mature.
Revised Set of Systems
Analysis Capabilities
Identification of Gaps and Overlaps
Existing Systems
Requirements
Goals & Sub-Goals
Process Improvement:
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Status Summary
DEFINED AND
QUANTIFIED
BASED ON NOAA-WIDE ANALYSIS
BEING DEFINED AND EVALUATED
•Requirements•Systems
•Costs•Performance
•Gaps
•Integrated Architectures•Enhanced Partnerships
•Investment•Prioritization•Decisions
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Specific Results
• Dual Polarization Doppler Radar
• Solar Wind Mission
• Coronal Mass Ejection Imager
• Responding to Decadal Survey Report
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Investment Recommendation: Requirements Satisfaction
• NEXRAD Dual Polarization
– Potential for 50% improvement in precipitation measurement
– Decision makers needed rigorous review of proven technology prior to approving operational transition
– FY08 W&W Program Plan proposed as “above core”– NOSC FY08 Analysis indicated dual polarization a
strong candidate compared with other new observing technologies
– FY09 W&W Program Plan proposed partial funding within-core
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Investment Recommendation: Potential Cost Avoidance
• Solar Wind Observations– SW data crucial for geomagnetic storm warnings
• Aging NASA satellite is only current source of data
– BAA Studies developed costs for multiple options – Total cost range of options was $222M to $35M– NOSC recommended lower-cost SW data-buy
partnered with NASA using refurbished DSCOVR– Estimated cost avoidance ~ $150-190M
(dependent on partnering)
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Investment Recommendation: Potential Cost Avoidance
• Coronal Mass Ejection Imager (CME) – CME data crucial for geomagnetic storm warnings
– NASA STEREO mission is current source of data– GOES R formulation studies estimated cost of
$40.2M for flight sensor– BAA studies identified novel concept for CME
imaging that could be built commercially for $9M and the potential for commercial data buy
– NOSC questioned purchase of CME for GOES. Recommended studies to identify commercial sensor development and to define data purchase price
– Estimated cost avoidance ~$30M
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Responding to the Decadal Survey Report
• NOAA now has right process and tools• Complies with OSTP & OMB requirements• Consolidated Observing Requirements List
(CORL), CasaNOSA Analysis Tool (CAS) enable NOAA to implement:– Independent– Objective– Repeatable
Process to evaluate the NRC recommendations
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WHERE WE NEED TO GO AND WHY
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CONTINUE TO BUILD NOAA ORGANIC
ANALYISIS CAPABILITIES
• Integrated architecture analysis of alternatives
Revised Set of Systems
Analysis Capabilities
Identification of Gaps and Overlaps
Existing Systems
Requirements
Goals & Sub-Goals
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The bridge to NOAA’s future is still
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Without an Architecture, pulling data together from various sources is like: